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首页> 外文会议>International Conference on Smart Systems and Inventive Technology >Human computer interaction(HCI) based Smart Voice Email (Vmail) Application - Assistant for Visually Impaired Users (VIU)
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Human computer interaction(HCI) based Smart Voice Email (Vmail) Application - Assistant for Visually Impaired Users (VIU)

机译：基于人机交互（HCI）的智能语音电子邮件（Vmail）应用程序-视障用户的助手（VIU）

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摘要

Communication development is creating a revolution in the current digital era. A formal or casual communication is now sent through email. The growth in digital technology has given immense opportunity to visually impaired person. This application is developed to ease the process of email writing not only for visually impaired person but for everyone. Now human voices can also be given as input instead of typing on the keyboard. So, additional skill required for typewriting will not be necessary anymore. This application recognizes user voice and performs comparisons with pre-sample voice stored in the database and executes the voice command. Common day-to-day spoken words are used as command language. It focuses on reducing the load incurred in human memory. The proposed work aims to develop a mechanism which converts Speech To Text (S TT) for email composing and also converts Text To Speech (TTS) for reading emails. Google web kit API (Application Programming Interface) is used in this application for speech recognition. Investigations made on the application proves its effectiveness by delivering a better performance when compared with the various parameters like audible distance, accent, pace, words per minute (WPM), accuracy, and homophone words. The graphical analysis depicts the accuracy in terms of word recognition.
机译：通信发展正在当前数字时代掀起一场革命。现在通过电子邮件发送正式或临时的通讯。数字技术的发展给视障人士带来了巨大的机会。开发该应用程序的目的是简化不仅为视障人士而且为每个人编写电子邮件的过程。现在，人们的声音也可以作为输入，而不用在键盘上输入。因此，不再需要打字所需的其他技能。该应用程序识别用户语音，并与存储在数据库中的预采样语音进行比较，并执行语音命令。日常常用口语用作命令语言。它着重于减轻人类记忆中的负担。拟议的工作旨在开发一种机制，该机制可将语音转换为文本（S TT）用于撰写电子邮件，还可以将文本转换为语音（TTS）用于阅读电子邮件。此应用程序中使用Google Web kit API（应用程序编程接口）进行语音识别。与可听距离，口音，速度，每分钟字数（WPM），准确性和同音字词等各种参数相比，对该应用程序进行的研究证明了其有效性，它具有更好的性能。图形分析描述了单词识别的准确性。

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